Ultrasound-guided thrombin injection of femoral artery pseudoaneurysms.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To evaluate whether the positive initial results for ultrasound-guided percutaneous thrombin injection of pseudoaneurysms, reported predominantly in small retrospective series, would be supported in a larger prospective trial. METHODS: In April 1999, our institution adopted ultrasound-guided thrombin injection as the initial treatment for post-catheterization arterial pseudoaneurysm. Colour Doppler imaging delineates the pseudoaneurysm, its neck and the adjacent artery. A 22-gauge spinal needle is attached to a 1-mL syringe preloaded with thrombin at a concentration of 1000 U/mL. Under ultrasound guidance, the needle tip is positioned within the pseudoaneurysm, and real-time colour Doppler imaging is used to monitor the pseudoaneurysm as thrombin is slowly injected. Thrombus formation commences almost immediately, and in most cases, occlusion is complete within 5 seconds. RESULTS: We successfully treated 61 pseudoaneurysms in 61 consecutive patients. The amount of thrombin injected ranged from 20 U to 3000 U (mean 435 U); 55 pseudoaneurysms were successfully treated after a single injection, and 6 patients required a repeat injection for complete occlusion. One patient had 2 pseudoaneurysms treated on consecutive days, and 1 developed a symptomatic vasovagal reaction, which was treated conservatively. No other significant procedural complications were encountered. Fifty-nine patients had a follow-up groin Doppler sonogram between 1 and 5 days after treatment. CONCLUSION: Ultrasound-guided percutaneous thrombin injection is an effective, simple, fast and safe treatment for post-catheterization arterial pseudoaneurysm. It has replaced ultrasound-guided compression repair at our institution and is now our treatment of choice.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it